Where the platform is headed
This page shows what we are building now, what is planned next, and what we are exploring further out. We publish direction rather than dates, because honest planning in a fast-moving field means committing to priorities, not fictions.
Direction, not deadlines, reviewed and republished as priorities shift.
The destination behind the roadmap
Our long-term aim is unchanged from the day the company started: make AI search as measurable, manageable, and accountable as every other marketing channel. Every roadmap item below serves one of three movements toward that aim.
Broader observation
An AI search platform is only as useful as its coverage of where buyers actually ask questions, so coverage follows real usage.
From explanation to anticipation
Today the platform explains what engines say and why. The direction of travel is helping teams anticipate how changes will land before the investment is made.
Closer to the work
Measurement creates value when it reaches the people doing content, SEO, and reporting work, inside the tools where that work already happens.
What's active, planned, and explored
Three columns, three levels of confidence: work underway now, work planned next, and directions we are still exploring.
In active development
Deeper per-engine analytics
Expanding the AI visibility platform's engine-level views, so differences in how each engine cites and describes brands are easier to diagnose and act on.
Reporting refinements
Extending scheduled reporting formats based on how customers actually distribute results internally, with emphasis on executive summary quality.
Monitoring resilience
Ongoing adaptation to changes in how engines format answers and expose sources, protecting data continuity as the engines themselves evolve.
Planned
Expanded question research
Planned improvements to how the platform discovers and clusters the questions buyers ask, tightening the link between question demand and content planning.
Workflow integrations
Planned connections that deliver recommendations and alerts into the collaboration and project tools content teams already use.
Additional engine coverage
New assistants are evaluated continuously, and coverage expands when an engine demonstrates meaningful usage in buying research.
Exploring
Predictive visibility modeling
Exploring whether observed citation patterns can estimate how planned content changes are likely to affect visibility before publication.
Deeper accuracy tooling
Researching richer workflows for detecting, prioritizing, and verifying the correction of inaccurate AI answers at scale.
Category benchmarking
Considering anonymized, aggregate benchmarks that let a brand understand its AI search maturity relative to its industry, designed with strict attention to customer data boundaries.
How customers shape this page
Roadmap priorities are set from three inputs, weighted in this order: what customers request and why, what changes in engine behavior require, and where AI search innovation is heading as a discipline. Feature requests are reviewed by the product team, and requests that represent a pattern across customers move up in priority. When something you requested ships, it appears in the changelog, and if you asked for it directly, you will hear about it from us before you read it there.
A note on how we commit
Platform development in a field this young requires holding two things at once: a stable long-term direction and flexibility about the route. We commit firmly to the vision above and to the Now column, we plan Next with confidence, and we describe Later honestly as exploration. When priorities shift because the engines shift, this page changes and says so.
Tell us what would make the platform better for you
The strongest signal in our prioritization is a customer explaining a real problem. If something on this page matters to your team, or something missing from it should, we want to hear it.